The Enterprise AI Acceleration Platform
Nexus AI empowers every employer to build AI-native workflows with built-in guardrails, governance, and FinOps—across any data, any model, anywhere.
Integrate • Scale • Operate • Compose
Integrate Seamlessly
Connect Data Silos across ERP, CRM & Data sources. Pre‑built connectors and pipelines.
Auto-Tune Ontology
Auto-discover entities & relations. Governed knowledge graph for reliable retrieval.
Launch in Weeks
Launch AI agents and APIs in weeks, not years—secure, explainable, and cost-optimized.
Operate at Scale
Enterprise-grade governance, FinOps controls, and real-time observability built in.
Ontology Management
Your AI Is Only as Smart as Its Knowledge
Nexus AI transforms scattered enterprise knowledge into a governed, ontology-driven fabric—reducing errors, improving precision, and making AI explainable by design.
Why It Matters
Without ontology, AI guesses. With Nexus AI, AI knows. Centralize, govern, and structure knowledge across your entire enterprise.
Faster Updates
90% quicker model refresh cycles
Lower Costs
Reduce retraining compute by up to 85%
Expert Collaboration
Teams validate AI-suggested relationships
What it does
- Auto‑discovers entities, relations, and synonyms across documents & systems.
- Aligns to your domain ontology; maintains consistency as schemas evolve.
- Applies policies & access control at the node/edge level for safe retrieval.
- Feeds Workspace workflows and the MCP classifier with structured context.
Core Capabilities
Intelligent Discovery
Automatically discovers entities, relationships, and hierarchies across structured and unstructured data
Knowledge Graph Store
Version-controlled, queryable ontologies with full lineage, governance, and auditability
Human-in-the-Loop Curation
Domain experts validate AI-suggested entities and relationships to ensure precision
Delta Retraining
Update only what changes—cut retraining costs by up to 80% while keeping AI current
How It Works
Ingest & Extract
Connector agents pull data from systems, records, and documentation
Build & Validate
LLM-powered engine identifies entities; graph enforces structural integrity
Collaborate
Experts review and refine knowledge via intuitive web platform
Deploy & Consume
Ontology-enhanced AI powers detection, reporting, and monitoring
Key Benefits
Competitive Advantage
Proprietary knowledge fabric creates a defensible AI moat
Cost Efficiency
Up to 85% reduction in retraining and inference compute costs
Elastic Capacity
Autoscale across workloads and models with low latency and built-in failover
Frictionless Adoption
20+ enterprise connectors, OpenAI-compatible APIs, and SDKs for rapid rollout
Risk & Compliance
RBAC, audit trails, policy injection, and lineage for safe, compliant AI operations
Real-World Impact
See how enterprises transform complex data into actionable intelligence with measurable results.
Enhanced Accuracy
AI decisions are more precise and explainable with structured knowledge
Automated Reporting
Compliance reports generated automatically with full traceability
Continuous Intelligence
Knowledge graph provides continuously updated, governed view of relationships
The Result
With Nexus AI, your enterprise knowledge becomes actionable intelligence, not just data. Make AI precise, explainable, and strategic.
Agent Blueprints
Quickly compose, customize, and deploy AI agents using secure, governed blueprints that scale across data and models.
- Intelligent Tool Classification
Chooses agents & tools from natural‑language prompts. - Smart Orchestrator
Combines retrieval, analytics, and actions when needed. - Guardrails & Policies
Respect data access and safety constraints at runtime.
MCP in Action
→ Routes to Knowledge Graph tool
→ Conversational; avoids unnecessary tool calls
→ Orchestrates data + analytics + report generation
FinOps Dashboard
Track cost, latency, and usage across models, agents, and teams. Set budgets and alerts; route requests for optimal spend.
- Centralized observability & anomaly detection.
- Autoscale & failover for reliability.
- Per‑team governance & access control.
Quickstart with NexusAI
SDK scaffolding, OpenAI‑compatible endpoints, and security tokens plug into existing apps with minimal boilerplate.
Nexus SDK Installation
# Install SDK and dependencies pip install nexus-ai-sdk # Initialize new project nexus init my-ai-project # Start with RAG template nexus template rag
Automated Scaffolding
Generates project structure & config—no manual setup.
Pre‑Built Templates
Kick off with RAG, fraud detection, knowledge management.
Turnkey Integration
OpenAI‑compatible endpoints & tokens drop into existing flows.
Built‑in FinOps
Budgets, anomalies & routing recommendations.
USE CASE SPOTLIGHT
Building a Fraud Detection Agent
See how Nexus AI transforms complex fraud detection from months of development into a production-ready agent in days.
Data Ingestion
1.2 million transaction records ingested, versioned, and enriched with embeddings.
Performance: Processed in 24 minutes with real-time embeddings.
Knowledge Context
Financial documents fed into the Ontology Layer to create structured knowledge base.
Result: Automated knowledge graph with human-in-the-loop validation.
Intelligent Action
MCP tool orchestrates which tool to use for specific fraud detection queries.
Intelligence: Automatic routing to Graph DB, Analytics, or Report tools.
Production Agent
Finished fraud agent accessible via Nexus chat service with semantic search capabilities.
Capability: Answers specific questions using semantic search + knowledge graph.
Fraud Detection Agent Demo
Query:
"Analyze transaction #TX-789123 for fraud indicators"Multiple fraud indicators detected:
- •Unusual spending pattern (3x normal amount)
- •New merchant category (gambling)
- •Geographic anomaly (location 2000+ miles from home)
- •Time-based risk (3 AM transaction)
Confidence: 94% | Data Sources: 1.2M transactions, Knowledge Graph
Agents Marketplace & SDK
Start with proven templates, customize with the Nexus SDK, and publish secure endpoints instantly.
Fraud Investigation
Anomaly detection and case packets.
FinOps Co‑Pilot
Forecast, quotas, and routing.
Knowledge Fabric
Org‑wide RAG over ontology.
From data to deployed agents—in days.
Deploy in your cloud with VPC isolation. Bring your own models or use Nexus‑optimized LLM/VLM serving for lower cost and latency.